Fast engineering optimization: A novel highly effective control parameterization approach for industrial dynamic processes-Reference-Cited by-同舟云学术

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Fast engineering optimization: A novel highly effective control parameterization approach for industrial dynamic processes

Published:2015-09 Issue: Volume:58 Page:248-254
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Liu Ping,Li Guodong,Liu Xinggao

Funder

National Natural Science Joint Funds of NSFC-CNPC of China

National High Technology Research and Development Program

Zhejiang Provincial Natural Science Foundation for Distinguished Young Scientists

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference44 articles.

1. ACS-based dynamic optimization for curing of polymeric coating;Xiao;AIChE J,2006

2. Hierarchical optimal control of large-scale nonlinear chemical processes;Ramezani;ISA Trans,2009

3. On-line evolutionary optimization of an industrial fed-batch yeast fermentation process;Yüzgeç;ISA Trans,2009

4. Dynamic optimization of distributed biological systems using robust and efficient numerical techniques;Vilas;BMC Syst Biol,2012

5. Integration of structure and control using an evolutionary approach: an application to the optimal concurrent design of a CVT;Portilla-Flores;Int J Numer Methods Eng,2007

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